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Paper Citation Record · LEDGER

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation

As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 5 inbound Pith citation observations for arXiv:2512.09185.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2512.09185 v4

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:33:44.127707Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:06:24.617446Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 80c14cea-1e60-4ad1-8f1d-e7266c338657 · outbound

This paper cites Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis.

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T17:33:43.861068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:33:43.861068Z digest=sha256:9be6c645853dfe7bf49e6fcc68f054af0b02363d199fa6eabe6da4c6811bf96f

Observation 6b24b051-6213-45e7-ac68-700f3f158354 · outbound

This paper cites FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis.

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T17:33:44.127707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:33:44.127707Z digest=sha256:7b96618259daaa306d1623fcc20d2238d388625b6d33facf2f3e9dba328c8c28

Observation e5250d05-5c94-4d59-a339-daade44f84de · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30,.

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation Attention is all you need.Advances in neural information processing systems, 30,

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-03T17:33:43.990544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:33:43.990544Z digest=sha256:a0ec5f60a8e5a7ae7a4d8a9e2e570ee6c3bec9ff2e9f6e4cda07ec07d797af41

Observation 4cb8a2a3-f220-45db-9a68-78550944c60f · outbound

This paper cites Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion.

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T17:33:43.748333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:33:43.748333Z digest=sha256:3485047a3c0f9e04902439ef0af2727cb454885721bad10677d124329778ba1a

Observation 28d2eb2d-f2b1-4fb8-8e93-76148ec12308 · outbound

This paper cites PanTS: The Pancreatic Tumor Segmentation Dataset.

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation PanTS: The Pancreatic Tumor Segmentation Dataset

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T17:33:43.633891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:33:43.633891Z digest=sha256:9f2a75dafe79e823b3596caaaa36c238c45a7d972725d7545be9c9fec40b1d4f

Pith citing papers

Observation 56e898c3-4c18-47c0-8e45-27686296b71a · inbound

Contrast-X: A Multi-Modal Contrast Image Synthesis Benchmark and Universal Modality Flow Matching cites this paper.

Contrast-X: A Multi-Modal Contrast Image Synthesis Benchmark and Universal Modality Flow Matching Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-19T17:10:47.848648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T12:01:15.495502Z digest=sha256:2bd506b142f0b604d722898966fbcb7b3ce911a752461cbaf6639b1bcf18d84c

Observation 145cdd74-8fc2-444f-b933-6d72441fa8fa · inbound

Training-inference input alignment outweighs framework choice in longitudinal retinal image prediction cites this paper.

Training-inference input alignment outweighs framework choice in longitudinal retinal image prediction Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-19T17:10:47.848648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T06:45:33.565927Z digest=sha256:d900faf52c9416da7c15ecc906de34c6eaf788d75db0022a406eaab66af61d79

Observation 74e5b826-d00e-40da-b6ea-8bcb04b5ecd4 · inbound

Uncertainty in a Single Pass: A Closed-Form Identity for One-Step Flow Matching cites this paper.

Uncertainty in a Single Pass: A Closed-Form Identity for One-Step Flow Matching Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-19T17:10:47.848648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T10:32:30.097302Z digest=sha256:89061cdf959acac742393e3b0f6702ef4a8590345ae245e3298d0df89ea6f46e

Observation 8fc4ca7a-27e1-4676-b607-cc63460218da · inbound

Uncertainty in a Single Pass: A Closed-Form Identity for One-Step Flow Matching cites this paper.

Uncertainty in a Single Pass: A Closed-Form Identity for One-Step Flow Matching Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-01T08:15:31.420742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-01T08:13:04.323547Z digest=sha256:b48aae4853af386d3df0a258b721e596094814445c62d9a66b1e93300dc21cde

Observation 40fb91fe-b664-4c4b-ac93-2df5f7b1a9db · inbound

ProgFormer: Hierarchical Voxel Diffusion Transformer for Longitudinal Brain MRI Prediction cites this paper.

ProgFormer: Hierarchical Voxel Diffusion Transformer for Longitudinal Brain MRI Prediction Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T06:06:24.617446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:06:24.617446Z digest=sha256:390e972b80673e4cdbcbf6638271d5e565ea729b58fd3aa0790cd642056fb04b